Message activities, that is receive, reply, invoke, and pick activities, can initialize or verify correlation set values with their input and output message.
消息活动(即接收、应答、调用和拾取活动)可以使用其输入和输出消息初始化或验证相关集的值。
The relation between output correlation spot shape and length width ratio of input correlation image was analyzed quantificationally by using of diffraction theory in the joint transform correlation.
根据联合变换相关理论和光的衍射理论，定量分析了联合变换相关中两相关输入物长宽比与输出相关点形状间的关系。
This algorithm solves the problem of complex correlation by the node's design of neural network's input based on application of extensive ability effectively and effective study ability of itself.
该方法有效地应用了神经网络的泛化能力以及自组织自适应的学习功能，且通过对网络输入结点的设计，能够很好地解决复杂航迹关联问题。
Method:The main effective factors could be found by weights of the BP Nerual Network, which has one hidden layer, and the correlation of input and output.
方法：拟合输入与输出之间含有一个隐层的BP神经网络，利用各层输入与输出间的相关程度与网络权值确定各因素影响力大小。
Correlation between input and output can be depicted by network.
进而选择与输出相关程度大的输入指标作为优化指标。
This new method reduces the computational complexity by using the block tridiagonal structure of the input sample correlation matrix, and at the same time keeps the property of fast convergence.
在保持了该算法快速收敛优点的同时，利用相关矩阵块三对角的特殊结构，降低了该算法的计算复杂度。
This paper discusses the relationship among the correlation of input signal, weights number and steady state square error of the LMS algorithm in detail.
该文详细讨论了LMS算法中输入信号相关性、加权数目和稳态均方误差的关系。
It takes the core index as output of network, other indexes as inputs of network and establishes forward neural network model. Correlation between input and output can be depicted by network.
即以核心指标作为网络输出，其他因素指标作为网络输入，建立前向神经网络模型，通过网络刻画出输入和输出之间的相关性。
On the basis of above, identification method on vibration source correlation of multi-input and multi-output system is studied.
并在此基础上，研究了根据多输入多输出系统，在振源相关时的辨识方法。
The nonlinear response in the bistable system with a random binary signal by adding the variable amount of noise is studied, and the input-output cross-correlation coefficient is measured.
研究了噪声和随机二进制信号同时激励双稳系统时的输出响应，并测量了输入输出互相关系数。
The pseudo-random number is a complex, linear combination of values of input sequences provided to the generator and exhibits little correlation with such input values.
该伪随机数是提供给发生器的输入序列值的复线性组合，与该输入值相关性很小。
And it picks out some input indexes which have high-correlation with output as optimization indexes.
进而选择与输出相关程度大的输入指标作为优化指标。
The relation between input and output of science and technology is analyzed by canonical correlation, and their effective element is discussed also.
介绍了典型相关的基本思想，对科技投入与科技产出之间的相互关系作典型相关分析，并就其间的因素影响因素进行讨论。
It expects that segmental unit input HMM would be effective to describe the inter-frame correlation information and has also proposed the MGDF and RBF to further improve output probability function.
为了进一步改善复数帧段输入hmm的输出概率分布函数，作者还提出了用MGDF和RBF函数作为复数帧段输入hmm的输出概率分布函数的方法。
It expects that segmental unit input HMM would be effective to describe the inter-frame correlation information and has also proposed the MGDF and RBF to further improve output probability function.
为了进一步改善复数帧段输入hmm的输出概率分布函数，作者还提出了用MGDF和RBF函数作为复数帧段输入hmm的输出概率分布函数的方法。
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